Triple
T29058451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean scripts |
E735457
|
entity |
| Predicate | deciphermentChallenge |
P68051
|
FINISHED |
| Object | limited bilingual inscriptions |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: limited bilingual inscriptions | Statement: [Aegean scripts, deciphermentChallenge, limited bilingual inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciphermentChallenge Context triple: [Aegean scripts, deciphermentChallenge, limited bilingual inscriptions]
-
A.
deciphermentDifficultyReason
chosen
Indicates the specific cause or factor that makes the decipherment of something difficult.
-
B.
deciphers
Indicates the action of successfully interpreting or figuring out the meaning of something that is difficult to understand or encoded.
-
C.
deciphermentContributor
Indicates that an entity contributed to the process of deciphering or interpreting another entity (such as a text, code, or inscription).
-
D.
coDecipherer
Indicates that two or more entities jointly participated in deciphering or decoding something together.
-
E.
degreeOfDecipherment
Indicates the extent to which something (such as a text, code, or script) has been successfully deciphered or made intelligible.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6609457148190aa52f24617101f50 |
completed | May 2, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:13 a.m.